active learning

Batch Active Preference-Based Learning of Reward Functions CoRL 2018 Bayesian Semi-supervised Learning with Graph Gaussian Processes NeurIPS 2018 Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis MLHC 2018 Cost-Effective Active Learning for Hierarchical Multi-Label Classification IJCAI 2018 Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning ICML 2018 Deep Active Learning for Named Entity Recognition ICLR 2018 Derivative Free Optimization Via Repeated Classification AISTATS 2018 Discovering Interpretable Representations for Both Deep Generative and Discriminative Models ICML 2018 Efficient active learning of sparse halfspaces COLT 2018 Efficient nonmyopic batch active search NeurIPS 2018 Experimental Design under the Bradley-Terry Model IJCAI 2018 Exploiting Structure in Representation of Named Entities using Active Learning COLING 2018 Extracting Commonsense Properties from Embeddings with Limited Human Guidance ACL 2018 Few-Shot Learning with Graph Neural Networks ICLR 2018 FrameIt: Ontology Discovery for Noisy User-Generated Text EMNLP 2018 Hierarchical Active Learning with Group Proportion Feedback IJCAI 2018 Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NeurIPS 2018 Including Uncertainty when Learning from Human Corrections CoRL 2018 Interactive Algorithms: Pool, Stream and Precognitive Stream JMLR 2018 Lean Multiclass Crowdsourcing CVPR 2018 Learning a Policy for Opportunistic Active Learning EMNLP 2018 Learning from Chunk-based Feedback in Neural Machine Translation ACL 2018 Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types COLING 2018 Learning How to Actively Learn: A Deep Imitation Learning Approach ACL 2018 Learning Intelligent Dialogs for Bounding Box Annotation CVPR 2018